I made 3,457 Shorts to learn this...
Summary
TLDRThis video script delves into the intricacies of YouTube's algorithm, emphasizing its role in maximizing user engagement and revenue through content recommendations. It explains collaborative filtering as the primary method for short video promotion, using viewer data to match content with interests. The script illustrates the importance of crafting an engaging intro for YouTube shorts to attract the right audience and avoid misleading irrelevant viewers, ensuring the algorithm accurately promotes content. Tips are provided to optimize short intros, including studying successful niche shorts, using text overlays, and adding AI voice intros to repurpose existing content effectively.
Takeaways
- 📈 The YouTube algorithm's primary goal is to keep users on the platform by recommending content they want to watch, thereby generating revenue through user engagement.
- 🔍 Collaborative filtering is a key method used by the algorithm to understand user preferences and match them with suitable content, including YouTube Shorts.
- 🎯 For Shorts, the algorithm tests content with small, diverse audiences to gauge interest and engagement before promoting it more broadly to a relevant audience.
- 🔑 The intro or 'hook' of a YouTube Short is crucial as it needs to quickly and clearly communicate the content's theme to attract the target audience and filter out those who aren't interested.
- 📹 The quality of a video or Short is important, but it's equally important that it resonates with the audience it's intended for to ensure algorithmic promotion.
- 📊 Initially, a Short may not gain many views as the algorithm is learning and testing its appeal with different audiences, but this can change as it gathers positive feedback.
- 📈 If a Short resonates with its intended audience, the algorithm will recognize this and promote the content to a larger audience, potentially leading to a significant increase in views.
- 🎨 To create compelling intros for Shorts, consider mimicking successful formats in your niche, such as using text overlays or showing the main subject matter upfront.
- 📝 Adding text on screen at the beginning of a Short can summarize its content and entice viewers to continue watching, similar to a YouTube video title.
- 🛠️ Repurposing existing content into Shorts can be enhanced with an added intro or an AI voiceover to set the context and attract the right audience from the start.
- 🔬 Analyzing successful Shorts in your niche can provide insights into effective formats and techniques that can be adapted for your own content.
Q & A
What is the primary goal of the YouTube algorithm?
-The primary goal of the YouTube algorithm is to make YouTube money by keeping users on the platform for as long as possible by continually recommending them content they want to watch.
How does the YouTube algorithm determine which videos to recommend to viewers?
-The algorithm uses a method called collaborative filtering, which looks at the viewing history of users on the platform and then uses that data to figure out what other people would also like to watch.
What is the purpose of collaborative filtering in the context of YouTube Shorts?
-Collaborative filtering for YouTube Shorts helps the algorithm to understand the content and promote it to a small, targeted audience to see how they respond, and if the response is positive, it will promote the short to a larger audience.
Why is it important for a YouTube video to have a good intro or hook?
-A good intro or hook is important because it not only keeps people watching but also serves the same purpose as a title and thumbnail in filtering out people who aren't interested in the content, ensuring that the video is promoted to the right audience.
How does the algorithm test a new short video to determine its audience?
-The algorithm tests a new short video by promoting it to a small portion of various audiences and observing their response. It looks at engagement metrics such as clicks, watch time, and completion rates to determine if the content resonates with the audience.
What happens if a short video is not getting views initially?
-If a short video is not getting views initially, the algorithm continues to test it with different audience segments, gathering data and feedback. If it eventually receives positive engagement from a relevant audience, the algorithm may start promoting the video more broadly.
Why is it a problem if a short video's hook is too vague or general?
-A vague or general hook can attract viewers who are not the target audience, leading to low engagement and negative signals to the algorithm, which may then decide not to promote the video further due to the assumption that it's not relevant or good content.
What can be done to improve the intro of a short video that is not performing well?
-To improve the intro, one can script a clear and enticing intro, analyze successful shorts in the niche for common patterns, add text on screen that summarizes the video's content, or add an AI voice intro to clearly state the video's topic and purpose.
How can analyzing successful shorts in a niche help in creating a better intro?
-By identifying common patterns and elements in successful shorts, such as the presence of the UI, text hooks, or the format, one can emulate these successful strategies to create an intro that resonates with viewers and signals the content's relevance.
What is the significance of the 'vibe' of successful shorts in relation to creating a compelling intro?
-The 'vibe' of successful shorts, which includes visual elements and presentation style, helps in creating an intro that is instantly recognizable and appealing to the target audience, increasing the likelihood of viewers staying engaged with the content.
Outlines
🔍 Understanding YouTube Algorithm and Collaborative Filtering
This paragraph explains the YouTube algorithm's role in maximizing platform revenue by retaining users through relevant content recommendations. It introduces the concept of 'collaborative filtering,' a method used by YouTube to match content with viewers' interests based on their viewing history. The speaker uses an illustrative example of categorizing viewers by their interests and how the algorithm tests content with different audiences to gauge engagement. The importance of audience relevance to a video's success is emphasized, as the algorithm's promotion of content is dependent on positive user interactions.
🎥 The Importance of an Engaging Intro for YouTube Shorts
The speaker discusses the critical role of an engaging introduction in YouTube Shorts, as it serves a dual purpose of attracting viewers and filtering out those not interested in the content. The paragraph uses the analogy of a title and thumbnail for regular videos, which is absent in Shorts, to highlight the need for a compelling start. The speaker shares personal experience with a clip that lacked a clear hook, illustrating the potential issues of vague intros, such as attracting the wrong audience and sending negative signals to the algorithm. The paragraph concludes with examples of view growth patterns for Shorts, showing how the algorithm learns and eventually promotes content to a wider audience once it identifies the right viewer segment.
🛠 Techniques to Improve Short Intros and Attract Views
The final paragraph offers strategies to enhance the introductory segments of YouTube Shorts. It suggests scripting the first few seconds to clearly convey the content's theme and hook viewers. When scripting isn't possible, the speaker recommends observing successful Shorts in the niche for common patterns, such as using text overlays or subtitles. The paragraph also advises testing text on screen at the beginning to summarize the video's content and entice viewers. Lastly, it proposes adding an AI voice intro to repurpose existing content, providing examples of how this can be effectively done. The speaker encourages applying these techniques to help the algorithm understand the target audience and potentially lead to a surge in views.
Mindmap
Keywords
💡YouTube Algorithm
💡User Engagement
💡Collaborative Filtering
💡YouTube Shorts
💡Intro/Hook
💡Retention
💡Target Audience
💡Viral Content
💡Relevance
💡AI Voice Intro
Highlights
YouTube algorithm's primary goal is to keep users on the platform for as long as possible to generate revenue.
The algorithm recommends content based on user preferences to prevent frustration and maintain viewer engagement.
Collaborative filtering is a key method used by the YouTube algorithm to match content with viewers.
The algorithm tests content with different audiences and measures their responses to optimize recommendations.
A video's success on YouTube is highly dependent on the audience's interest and engagement with the content.
YouTube Shorts lack traditional titles and thumbnails, requiring a strong introductory hook to attract viewers.
The algorithm initially promotes Shorts to a general audience to gather data on viewer preferences.
An engaging intro in a Short is crucial for signaling its content and retaining viewer interest.
Vague or general intros in Shorts can lead to poor viewer retention and negative feedback for the algorithm.
The algorithm may take time to learn and correctly promote a Short to its target audience.
A slow initial growth in views for a Short can be followed by an explosion of views once the algorithm identifies the right audience.
Creating an effective intro for a Short involves scripting, understanding the niche's successful Shorts, and using text or AI voiceovers.
Successful Shorts in a niche often share a similar vibe or format, which can be emulated for better engagement.
Using text on screen at the beginning of a Short can summarize its content and entice viewers to continue watching.
Adding an AI voiceover intro can provide more freedom to explain the Short's content and hook viewers.
The video offers a study analysis of over 5,000 Shorts to understand what keeps viewers engaged until the end.
Transcripts
take a look at some of these shorts this
one 9.9 million views here's another
short 3.7 million here's another short
1.4 million views here's another one 1
million views here's another one 16.2
million views and without doing the
thing I'm going to talk about in this
video these shorts wouldn't have
anywhere near the amount of views that
they currently do but before I can
reveal exactly what I'm talking about
you need to understand a little bit
about how the YouTube algorithm works so
the algorithm's job is to make YouTube
money which it does by trying to keep
users on the platform for as long as
possible and it keeps users on the
platform for as long as possible by
continually recommending them content so
it could be long form videos or YouTube
shorts that they actually want to watch
and so recommending the right videos to
the right viewers is essential in the
algorithm's job description because if
it doesn't do this people are going to
get frustrated because they're not going
to be served videos that they actually
want to watch and so they're going to
leave which is bad because YouTube
doesn't get money but how does this
recommendation system actually know what
each P piece of content is and how to
connect it to the right viewer well
there are a bunch of different ways but
the primary one especially for shorts is
a method called collaborative filtering
it's probably going to be easier for me
to explain collaborative filtering to
you through an example so let me pull up
a whiteboard and actually draw this for
you I want you to imagine that all of
the viewers on YouTube have been
categorized by the type of content they
like to watch their interests so for
example we might have cat lovers over
here we might have fortnite players over
here we might have crime lovers over
here like True Crime maybe we have small
YouTubers over here maybe we've got
business owners over here all these
different audiences you get the idea and
in the middle here is our piece of
content and how collaborative filtering
actually works is it looks at viewing
history of users on the platform and
then uses that data to figure out what
other people would also like to watch
those types of videos so for example
what YouTube might do for this
particular piece of content that we've
created is it might promote it to a
small amount of True Crime lovers it
might promote it to a small amount of
cat lovers it might promote it to a
small amount of small YouTubers and when
it's promoting or rather I should say
testing our content with all the
different audiences what it's looking
for is how do these audiences respond to
your content and by respond I mean do
they click on it do they watch it all
the way to the end do they click on it
and only watch it for a little bit do
they not click on it at all etc etc so
for example let's say that this piece of
content we have in the middle is
actually a video or short about how to
get YouTube views so YouTube's going to
do its best to figure out what this
content is so it can recommend it to
what it thinks are relevant audiences
But ultimately it's just going to test
it with a bunch of different people but
what happens is when it promotes our how
to get YouTube views video to cat lovers
they're not interested when it promotes
out how to get YouTube views to crime
viewers they're not interested fortnite
viewers are not interested business
owners not interested however when it
promotes it to our small YouTuber
audience our small YouTubers want to get
more views and so they respond
positively to this video they click on
it they watch it they engage with it and
the algorithm is like oh there's
something positive going on here and so
what it does is it starts to promote
this video even more to small YouTubers
and to a larger percentage of this
audience and if they continue resonating
with this video it will promote the
video again to an even larger portion of
this audience and that's how a video
gets more and more views so how good a
video is is completely relevant to the
audience who is actually watching that
video Even if we have the best how to
get views video in the world if it's
being watched by people who don't want
to learn how to get views on YouTube
they're not going to click on that video
or they're going to leave that video and
the algorithm is going to kill our video
so now let me clear this up and talk
about how this works in the context of
YouTube shorts now earlier I said to get
some data initially the algorithm is
going to promote OTE your video to
slightly more General audiences and for
long form videos the way it can do this
is just by having this video show up in
the homepage having this video sh been
recommended and then use the title and
thumbnail of that video to work out what
kind of viewer would actually be
interested firstly in just clicking on
this video but for shorts we don't have
a title and thumbnail all we have is a
video usually cuz people are just
scrolling on the YouTube shorts feet and
so the way collaborative filtering works
with shorts is basically you'll create
your how to get views on YouTube short
YouTube's going to push this short out
to again a very small amount of people
in some general niches that it thinks
are related to the content and if one of
these small test audiences when they
recommended the short actually really
watch it and enjoy it the algorithm will
look at that be like hey let's send this
short to more similar users so it's
going to promote it to a larger portion
of this audience and it's getting it
more views and that Short's going to
grow and grow and grow like we talked
about earlier but in order for this
audience to actually watch and engage
with this video this short has to have a
pretty damn engaging intro that screams
to them basically like hey this short is
about how to get views on YouTube so all
the small YouTubers see that and like
I'm going to spend a bunch of time
watching this so basically the beginning
the intro of your short or the hook we
call it not only does it have to keep
people watching but it has to do the
same thing that a title and thumbnail
would do it has to clearly State and
represent what this short is about so
that it filters out people who aren't
going to be interested in this short and
a people who are so let me give you an
example that most of you guys watching
can probably relate to I'm going to play
a clip from a longer piece of content
that I've been considering cutting down
into a YouTube short now give this
example a watch one of the things that I
really struggled with to be honest was
embarrassment I was terrified that my
friends were going to find out about my
channel and be like you know this dude's
just some loser who's desperate for
attention and social validation and
believe it or not that's not the kind of
thing that makes people invite you to
parties now I'm not sure if you could
tell but this clip is basically Al about
how I overcame the embarrassment of not
getting very many views on my videos
when I first started my channel now in
this clip I go on to tell the story of
like how I felt and then share the
mindset shift that helped me get over
that embarrassment I think it's an okay
clip for a short but the problem is our
hook our intro the first like 3 to 5
Seconds they're very vague and general
one of the things that I really
struggled with to be honest was
embarrassment I was terrified that my
friends were going to find out now since
you're watching this video you might
have a rough idea of who I am and so
maybe you would have guessed the context
of this clip but if you didn't have that
context you would have had no idea what
this short is actually about and that's
a massive problem because if we come
back to our whiteboard if I did take
this clip and post it to my channel as a
short one of two things would probably
happen either my hook or the beginning
bit of this video is too vague in
general just doesn't grab people well
enough and so when the algorithm tests
promoting this to lots of people no one
actually watches it in which case it's
just going to die completely or the
other thing it could do is if this Hook
is interesting enough that it catches
people's attention because it's so
General and vague this short is going to
start getting views from cat lovers from
True Crim lovers from fortnite
enthusiasts from business owners and
from our small YouTuber audience who we
actually want to Target and the problem
with this is that as soon as our cat
lovers our true crime lovers our
fortnite lovers Etc discover that oh
this is actually a short about how to
grow on YouTube something that is not
relevant to me at all they're going to
leave that short they're going to swipe
away it's going to kill my retention and
it's going to send really negative
signals to the YouTube algorithm because
the algorithm is going to think well
this short is relevant to cat lovers and
True Crime lovers and fortnite
enthusiasts Etc because they did watch
the first bit of it but then after they
watched the first bit they left
immediately so maybe it's just a bad
piece of content and I shouldn't promote
it to anyone your shorts have to be
decent quality regardless to actually
get people to watch them but if you have
decent shorts and they're not getting
views this is the mistake you're
probably falling into so remember these
examples I I showed you earlier
something interesting you can actually
see if we come down to the Views graph
we can see that for the first period of
this short being live it didn't get very
many views relative to how many views it
ended up with this one only got about
50,000 views after 160 days before
exploding to almost 5 million views this
one grew really slowly as well until
bang we see this explosion here we see
the same pattern with this shot so
what's actually happening here is for
this beginning period where the short
doesn't get very many views the
algorithm is learning what it's doing is
it's promoting this short to a tiny
portion of the small YouTuber audience
and some of those people are clicking
and watching which is a big green tick
but then it goes on and it promotes to
the cat lover audience and they don't
watch they swipe away and see how's like
oh okay is this actually a good video so
it goes back and it promotes it again to
our small YouTuber audience slightly
larger portion they reciprocate they
watch that video the's like oh okay
what's going on here let me test this
again it tests it with the True Crime
audience True Crime doesn't watch cuz
they don't care and so what we can see
here is the algorithm going through this
process of testing promoting our short
to small segments of different audiences
and getting feedback getting data and it
gets enough positive data from our
relevant audiences to tell it hey
there's something here I should keep
promoting this but it's not getting a
clear enough signal to know who to push
this short to on mass until round about
here you can see we go from like 1,000
views in 100 days to getting like 50,000
views and then from here the algorithm
just goes all out and just promotes it
to like 5 million people which is
basically it's promoting to to a smaller
group here to prom to a bigger group a
big group and it realizes hey this video
is meant for small YouTubers and so then
it just promotes it to all small
YouTubers all in one go and that's why
we see this sort of explosion of views
and so if you've got a really good short
it's okay if it doesn't get a huge
amount of views in the beginning but
what's important is that short needs to
have an intro that is really appealing
to your target audience but that also
correctly filters out people who would
not be interested in watching that short
and if you do that correctly the
algorithm will learn and event
eventually you should see an explosion
of views and so to fix this we're going
to make some changes to our short intros
or hooks now obviously the easiest way
to fix this is to just script your short
in a way that the first few seconds of
it really clearly tell people what your
short is going to be about and hooks
them to keep watching it but that's not
always possible going back to our
example here if I'm going to use a clip
from a talk I gave I can't go back in
time and like rescript what I actually
say in the talk so what we can do
instead is use three powerful techniques
the first one is to figure out the Vibe
of other really successful and popular
shorts in your Niche or in very related
niches so what I mean by that for
example if we come and look at shorts
that are about PowerPoint presentations
this is the first second of this short
it's done pretty well 66,000 likes what
we can see is there is a PowerPoint
presentation full screen and there is
text that says don't make slides like
this so immediately I can see basically
you know this is about PowerPoint and
it's probably going to be a tutorial
which I can gather from this text or
here's another one again we can see the
PowerPoint UI and we can see text that
says me before I understood PowerPoint
PowerPoint UI descriptive SL hooky text
another one same thing you get it you
can see the pattern happening here so if
I'm going out to try and create
successful PowerPoint shorts I'd
probably want to start my short by
showing the PowerPoint UI and having
some sort of text hook on screen and
probably a very basic looking slide in
that UI as you can see all of these
examples here they're not showing like
some really fabulous amazing
presentation right off the bat they're
showing something bad so this is clearly
a format that works and if I was to
model it and emulate it for my own
PowerPoint shorts it would give me the
best chance of succeeding because when
people see my PowerPoint tutorial short
they're going to recognize the vibe from
other similar shorts and probably get a
feel as to what that short is actually
about if I was creating a short about
how to grow on YouTube I'd Do a similar
thing I'd go to my competitors who are
creating shorts that get views I would
go through all of their shorts and see
which one which are getting the most
views what the format is how it's
structured here for example if we go to
my friend Ed's shorts we usually see a
face front and center and instead of
like a static hooky piece of text on
screen we just see subtitles that
sharpen change as Ed's talking so if I'm
trying to create shorts about how to
grind YouTube I'd probably want the
beginning of my short to start with me
on screen and then I'd have subtitles
show up as I'm talking and then maybe
start introducing some overlays and
elements like Ed did but let's move on
to our second trick because sometimes
you might be in a situation where your
Niche is doing all kinds of different
types of shorts or maybe you're creating
shorts that are very similar to the vibe
of a lot of the successful shorts in
your space but they're still not getting
results and so I usually try to test
having some sort of text on screen right
at the beginning of your short that sort
of summarizes what the video is about
while also enticing people to continue
watching think about it like you would a
long form like YouTube video title so
coming back to my example here if I was
to turn this into a short maybe I could
have some sort of like text title on
screen that says how to instantly
overcome embarrassment as a small
YouTuber or something like that that
basically encapsulates what's going to
be delivered to them and tells them why
they should keep watching but the last
trick you can use and this is especially
helpful for shorts like this one where
you're just repurposing content that you
already have is to just add an intro to
it so I could actually just record an
intro then use my editing software to
stitch that onto the beginning of this
clip or if you don't have the time to do
that is actually to have have an AI
voice intro you're short before and I
want to show you a couple really cool
examples of that now the winner of my
latest lineup competition I played with
a young fan in Immortal so if I was to
write an AI intro for this particular
clip maybe I could have the AI say
something like how I overcame the
embarrassment of not getting views on my
YouTube videos when I first started so
with this you kind of doing a similar
thing that you did when you were using
text but using an actual intro gives you
a bit more freedom because it lets you
say a bit more cuz text can be a bit
limiting because there's only so much
text you can actually put on a screen
and still keep it readable and so now
you understand how the algorithm works
you can go out there create great intros
for your shorts that are enticing yet
filter out the people who shouldn't be
watching your short from the people who
should all in the first couple of
seconds and I'll do that the algorithm
will learn eventually you'll figure out
exactly who your short is for and if
it's a good short and a good piece of
content that's when your short blows up
and starts getting thousands tens of
thousands hundreds of thousands maybe
even millions of views like these on but
if you're still struggling with like how
do I create good shorts in the first
place I have a video on screen where I
analyzed a study of over 5,000 400
shorts to show exactly what matters most
and what's going to keep people actually
watching your short all the way to the
end after you've hooked them using the
techniques we've shown in this video so
that video is on screen click it now and
I'll see you there
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